iPad17,1
Geekbench AI Score
5342
Single Precision Score
8659
Half Precision Score
6866
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | notakaos |
| Upload Date | October 23 2025 04:05 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPad17,1 |
| Model ID | iPad17,1 |
| Motherboard | J817AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM |
| Base Frequency | 4.43 GHz |
| Cluster 1 | 3 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 11.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2239
416.4 IPS |
|
|
Image Classification (HP)
|
100% |
3677
683.8 IPS |
|
|
Image Classification (Q)
|
96% |
2483
463.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2394
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3523
57.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3762
61.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11261
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
20683
24.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
17718
20.8 IPS |
|
|
Object Detection (SP)
|
100% |
2645
209.8 IPS |
|
|
Object Detection (HP)
|
97% |
4135
329.2 IPS |
|
|
Object Detection (Q)
|
94% |
2904
231.5 IPS |
|
|
Face Detection (SP)
|
100% |
4770
56.7 IPS |
|
|
Face Detection (HP)
|
100% |
8539
101.5 IPS |
|
|
Face Detection (Q)
|
100% |
4747
56.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9106
70.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
15156
117.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10582
82.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26985
34.7 IPS |
|
|
Style Transfer (HP)
|
100% |
41076
52.8 IPS |
|
|
Style Transfer (Q)
|
96% |
33540
43.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6055
223.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7429
274.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5216
192.6 IPS |
|
|
Text Classification (SP)
|
100% |
3270
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
5665
7.56 KIPS |
|
|
Text Classification (Q)
|
93% |
5656
7.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
5108
88.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9569
165.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9748
168.5 IPS |
